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Updated: Feb 9, 2026

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Impact of specific coronary lesions on regional ischemia at single photon emission computed tomography
Francesco Nudi1,2, Orazio Schilllaci3, Giuseppe Biondi-Zoccai4,5
1Service of Nuclear Cardiology, Madonna della Fiducia Clinic.
Insights
This study found that the presence of myocardial ischemia on stress myocardial perfusion imaging (MPI) correlates with obstructive coronary artery disease, but this relationship varies by stenosis location. Detailed regional analysis is crucial for accurate assessment.
Area of Science:
- Cardiology
- Nuclear Medicine
- Diagnostic Imaging
Background:
- Previous studies on stress myocardial perfusion imaging (MPI) and obstructive coronary artery disease lacked detailed regional analysis.
- Invasive coronary angiography provides precise coronary anatomy for correlation with perfusion data.
Purpose of the Study:
- To examine the relationship between obstructive epicardial coronary disease and myocardial ischemia on a regional level.
- To assess how coronary stenosis location influences myocardial perfusion abnormalities.
Main Methods:
- Retrospective analysis of 2564 patients undergoing MPI with single-photon emission computed tomography (SPECT) and coronary angiography.
- Utilized a 17-segment coronary anatomy model and a 7-region perfusion model with a matching algorithm.
Main Results:
- Significant coronary artery disease was more prevalent in patients with myocardial ischemia (69.6-80.0%).
- Abnormal perfusion varied by stenosis location: 96% for left main, 81% for proximal LAD, 85% for proximal LCx, 82% for proximal RCA, and <60% for posterior descending artery disease.
- 1878 (73.2%) patients had myocardial ischemia, 260 (10.1%) had necrosis, and 275 (10.7%) had both.
Conclusions:
- The correlation between coronary stenosis and regional perfusion defects is dependent on the specific location of the stenosis.
- Regional analysis of MPI is essential for understanding the impact of coronary artery disease on myocardial perfusion.
Aims:
Prior studies using stress myocardial perfusion imaging (MPI), which examined the association between obstructive epicardial coronary disease and presence of myocardial ischemia did not provide a detailed assessment on a regional level. We examined this relationship in a large population of patients in whom the coronary anatomy was defined by invasive coronary angiography.
Methods:
We retrospectively extracted details on individuals undergoing MPI with single photon emission computed tomography (SPECT) who had coronary angiography within 12 months. A 17-segment model for native coronary anatomy and a 7-region model for myocardial perfusion were used with a dedicated matching algorithm.
Results:
A total of 2564 patients were included, yielding a total of 6279 stenoses matched with 17 948 myocardial regions. From such a cohort, 151 (5.9%) patients had normal perfusion, 1878 (73.2%) had myocardial ischemia (reversible defects), 260 (10.1%) had myocardial necrosis (scar or fixed defects), and 275 (10.7%) had ischemia and necrosis. At per-patient analysis, significant angiographic disease was more common in the ischemic group (prevalence between 69.6 and 80.0%) than other groups. At per-region analysis, abnormal perfusion in the coronary-specific regions varied depending on location of stenosis; it was 96% for left main disease, 81% for proximal left anterior descending disease, 85% for proximal left circumflex disease, and 82% for proximal right coronary artery disease and <60% for posterior descending artery disease.
Conclusion:
The correlation between significant coronary stenosis and presence of corresponding regional perfusion abnormality depends on the location of the lesion and the corresponding myocardial region.
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